dataset="randomcrops100k"

/home/lens/Desktop/dataset-random.pl

python datasets/combine_A_and_B.py \
  --fold_A "/home/lens/Desktop/thumbs/$dataset/A" \
  --fold_B "/home/lens/Desktop/thumbs/$dataset/B" \
  --fold_AB "./datasets/$dataset/"

python train.py \
  --dataroot "./datasets/$dataset" \
  --name "$dataset" \
  --model pix2pix  \
  --which_model_netG unet_256  \
  --which_direction AtoB  \
  --lambda_B 10  \
  --dataset_mode aligned  \
  --no_lsgan --norm batch --pool_size 0

python test.py \
  --dataroot "/home/lens/Desktop/thumbs/$dataset/A/train/" \
  --name "$dataset" \
  --start_img "/home/lens/Desktop/thumbs/$dataset/A/train/frame_0000.png" \
  --how_many 2000 \
  --model test  \
  --aspect_ratio 1.777777 \
  --which_model_netG unet_256  \
  --which_direction AtoB  \
  --dataset_mode recursive  \
  --norm batch